Literature DB >> 17750966

Quantum monte carlo.

D Ceperley, B Alder.   

Abstract

An outline of a random walk computational method for solving the Schrödinger equation for many interacting particles is given, together with a survey of results achieved so far and of applications that remain to be explored. Monte Carlo simulations can be used to calculate accurately the bulk properties of the light elements hydrogen, helium, and lithium as well as the properties of the isolated atoms and of molecules made up from these elements. It is now possible to make reliable predictions of the behavior of these substances under experimentally difficult conditions, such as high pressure, and of properties that are difficult to measure experimentally, such as the momentum distribution in superfluid helium. For chemical systems, the stochastic method has a number of advantages over the widely used variational approach to determine ground-state properties, namely fast convergence to the exact result within objectively established error bounds.

Entities:  

Year:  1986        PMID: 17750966     DOI: 10.1126/science.231.4738.555

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  4 in total

1.  A grid-based variational method to the solution of the Schrödinger equation: the q-exponential and the near Hartree-Fock results for the ground state atomic energies.

Authors:  Rogério Custodio; Guilherme de Souza Tavares de Morais; Maurício Gustavo Rodrigues
Journal:  J Mol Model       Date:  2018-07-02       Impact factor: 1.810

2.  Return Probability of Quantum and Correlated Random Walks.

Authors:  Chusei Kiumi; Norio Konno; Shunya Tamura
Journal:  Entropy (Basel)       Date:  2022-04-21       Impact factor: 2.738

3.  Describe Molecules by a Heterogeneous Graph Neural Network with Transformer-like Attention for Supervised Property Predictions.

Authors:  Daiguo Deng; Zengrong Lei; Xiaobin Hong; Ruochi Zhang; Fengfeng Zhou
Journal:  ACS Omega       Date:  2022-01-21

4.  Frequency-resolved Monte Carlo.

Authors:  Juan Camilo López Carreño; Elena Del Valle; Fabrice P Laussy
Journal:  Sci Rep       Date:  2018-05-03       Impact factor: 4.379

  4 in total

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